Automated Variational Nonlinear Chirp Mode Decomposition for Bearing Fault Diagnosis-Reference-Cited by-同舟云学术

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Automated Variational Nonlinear Chirp Mode Decomposition for Bearing Fault Diagnosis

Published:2023-11 Issue:11 Volume:19 Page:10873-10882
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Dubey Rahul¹^ORCID,Sharma Rishi Raj²^ORCID,Upadhyay Abhay³,Pachori Ram Bilas⁴^ORCID

Affiliation:

1. Department of Electronics Engineering, Madhav Institute of Technology and Science, Gwalior, India

2. Defence Institute of Advanced Technology, Pune, India

3. Department of Computer Science and Information Technology, Samrat Ashok Technological Institute, Vidisha, India

4. Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10255543/10035461.pdf?arnumber=10035461

Reference40 articles.

1. Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs

2. Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble

3. Application of mother wavelet functions for automatic gear and bearing fault diagnosis

4. Machine Learning in Finance

5. Fault severity assessment for rolling element bearings using the Lempel–Ziv complexity and continuous wavelet transform

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